Attelia: Sensing user's attention status on smart phones

Tadashi Okoshi, Jin Nakazawa, Hideyuki Tokuda

研究成果: Conference contribution

17 被引用数 (Scopus)

抄録

In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel "Application as a Sensor"(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.

本文言語English
ホスト出版物のタイトルUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版社Association for Computing Machinery, Inc
ページ139-142
ページ数4
ISBN(電子版)9781450330473
DOI
出版ステータスPublished - 2014
イベント2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
継続期間: 2014 9 132014 9 17

出版物シリーズ

名前UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
国/地域United States
CitySeattle
Period14/9/1314/9/17

ASJC Scopus subject areas

  • ソフトウェア

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